C/7 = 6 a. 13 b. - 42 c. 42 d. 1

TUS Expand the expression. -4(1.2h – 0.5)

kenny6666 [7]

Answer:

-4.8h + 2

Step-by-step explanation:

Use the distributive property to expand the expression.

-4(1.2h - 0.5)

-4 · 1.2h = -4.8h

-4 · -0.5 = 2

Therefore, the expanded expression is -4.8h + 2.

4 0

3 years ago

Which of the following is true?

allochka39001 [22]

B is the correct answer

3 0

3 years ago

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BRAINLIEST AND 10+POINTS! :)

BartSMP [9]

Answer: D.

Step-by-step explanation:

The associative property of addition states that numbers can be added together regardless of how they are grouped.

Answer A shows a property of multiplication.

Answer B shows the additive identity property.

Answer C shows the commutative property.

However, answer D shows that the numbers can be added regardless of how they are grouped.

5 0

3 years ago

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The rectangular box can be constructed from the pattern above. The box has a length of 8 units, a width of 2 units, and a height

adoni [48]

Answer:

72 units

Step-by-step explanation:

SA=2lw+2lh+2hw

SA=2(8x2) + 2(8x2) + 2(2x2) Note, Not distributive

SA= 2(16) + 2(16) + 2(4)

SA= 32 + 32 + 8

SA= 72

5 0

3 years ago

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According to Money magazine, Maryland had the highest median annual household income of any state in at (Time website). Assume t

Ad libitum [116K]

Answer:

The probability that a household in Maryland has an annual income of X or more is 1 subtracted by the p-value of $Z = \frac{X - \mu}{\sigma}$ , in which $\mu$ is the mean income and $\sigma$ is the standard deviation of incomes.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

In this question:

Mean $\mu$ , standard deviation $\sigma$

What is the probability that a household in Maryland has an annual income of X or more?

The probability that a household in Maryland has an annual income of X or more is 1 subtracted by the p-value of $Z = \frac{X - \mu}{\sigma}$ , in which $\mu$ is the mean income and $\sigma$ is the standard deviation of incomes.

6 0

3 years ago